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Record W3091889608 · doi:10.1186/s12992-020-00631-x

“The architecture of the state was transformed in favour of the interests of companies”: corporate political activity of the food industry in Colombia

2020· article· en· W3091889608 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobalization and Health · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São PauloUniversité de Moncton
KeywordsOpposition (politics)PoliticsFood industryMarketingPublic relationsPublic sphereArgument (complex analysis)SociologyEconomicsBusinessPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

BACKGROUND: In Colombia, public health policies to improve food environments, including front-of-pack nutrition labelling and marketing restrictions for unhealthy products, are currently under development. Opposition to these policies by the food industry is currently delaying and weakening these efforts. This opposition is commonly known as 'corporate political activity' (CPA) and includes instrumental (action-based) strategies and discursive (argument-based) strategies. Our aim was to identify the CPA of the food industry in Colombia. METHODS: We conducted a document analysis of information available in the public domain published between January-July 2019. We triangulated this data with interviews with 17 key informants. We used a deductive approach to data analysis, based on an existing framework for the CPA of the food industry. RESULTS: We identified 275 occurrences of CPA through our analysis of publicly available information. There were 197 examples of instrumental strategies and 138 examples of discursive strategies (these categories are not mutually exclusive, 60 examples belong to both categories). Interview participants also shared information about the CPA in the country. The industry used its discursive strategies to portray the industry in a 'better light', demonstrating its efforts in improving food environments and its role in the economic development of the country. The food industry was involved in several community programmes, including through public private initiatives. The industry also captured the media and tried to influence the science on nutrition and non-communicable diseases. Food industry actors were highly prominent in the policy sphere, through their lobbying, close relationships with high ranking officials and their support for self-regulation in the country. CONCLUSIONS: The proximity between the industry, government and the media is particularly evident and remains largely unquestioned in Colombia. The influence of vulnerable populations in communities and feeling of insecurity by public health advocates is also worrisome. In Colombia, the CPA of the food industry has the potential to weaken and delay efforts to develop and implement public health policies that could improve the healthiness of food environments. It is urgent that mechanisms to prevent and manage the influence of the food industry are developed in the country.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.315
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it